Triple
T17183945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dog and Pony Show |
E417052
|
entity |
| Predicate | mayBeMarketedAs |
P5087
|
FINISHED |
| Object | children’s entertainment |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: children’s entertainment | Statement: [Dog and Pony Show, mayBeMarketedAs, children’s entertainment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mayBeMarketedAs Context triple: [Dog and Pony Show, mayBeMarketedAs, children’s entertainment]
-
A.
marketedFor
chosen
Indicates that something is promoted, advertised, or positioned as being intended or suitable for a particular use, audience, or purpose.
-
B.
marketedWith
Indicates that two or more products or services are promoted together as part of the same marketing effort or campaign.
-
C.
hasMarketingCategory
Indicates that an entity is associated with a specific marketing category or segment used for classification or targeting.
-
D.
usedInMarketingMaterials
Indicates that something is included or featured as part of marketing or promotional materials.
-
E.
hasMarketingDescription
Indicates that an entity is associated with a textual marketing-oriented description used to promote or present it.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d886d5f34c8190b24564dfaa63f3fb |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42d9416a48190a5930fcd6008dbaa |
completed | April 19, 2026, 1:19 a.m. |
| PD | Predicate disambiguation | batch_69e383141ae0819096acd71683637cbc |
completed | April 18, 2026, 1:11 p.m. |
Created at: April 10, 2026, 5:37 a.m.